anim_encoder | anim_encoder creates small JavaScript+HTML animations

by sublimehq Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | anim_encoder Summary

anim_encoder is a Python library. anim_encoder has no vulnerabilities and it has medium support. However anim_encoder has 3 bugs and it build file is not available. You can download it from GitHub.

anim_encoder creates small JavaScript+HTML animations from a series on PNG images. This is a modification of that original post, that adds some actual documentation cleans up the code base a bit and attempts to make it slightly more reliable. So that if anyone actually wants to use this is a project they can get up and running really quickly. Original details are at

Support

Quality

Security

License

Reuse

Support

anim_encoder has a medium active ecosystem.

It has 1445 star(s) with 157 fork(s). There are 81 watchers for this library.

It had no major release in the last 6 months.

There are 9 open issues and 2 have been closed. On average issues are closed in 692 days. There are 9 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of anim_encoder is current.

Quality

anim_encoder has 3 bugs (0 blocker, 0 critical, 3 major, 0 minor) and 8 code smells.

Security

anim_encoder has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

anim_encoder code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

anim_encoder does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

anim_encoder releases are not available. You will need to build from source code and install.

anim_encoder has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

anim_encoder saves you 114 person hours of effort in developing the same functionality from scratch.

It has 288 lines of code, 10 functions and 4 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed anim_encoder and discovered the below as its top functions. This is intended to give you an instant insight into anim_encoder implemented functionality, and help decide if they suit your requirements.

Generate an animation
Simplify two boxes
Find the matching rect of a given bitmap
Allocate space in the bitmap
Convert a nested object to native types
Check if two slices intersect
Combine two slices
Calculate the size of a tuple
Calculate the size between two slices

Get all kandi verified functions for this library.

anim_encoder Key Features

No Key Features are available at this moment for anim_encoder.

anim_encoder Examples and Code Snippets

No Code Snippets are available at this moment for anim_encoder.

Community Discussions

No Community Discussions are available at this moment for anim_encoder.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install anim_encoder

You can download it from GitHub.
You can use anim_encoder like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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